Spatiotemporal crowds features extraction of infrared images using neural network

Anas M. Al-Oraiqat1, Oleksandr Drieiev2, Hanna Drieieva2, Yelyzaveta Meleshko2, Hazim S. AlRawashdeh1, Karim A. Al-Oraiqat3, Y.M.Y. Hasan4, Liudmyla Polishchuk4, Sheroz Khan4
1Department of Computer Science, College of Engineering and Information Technology, Onaizah Colleges, Qassim, Saudi Arabia
2Department of Cybersecurity and Software, Central Ukrainian National Technical University, Kropyvnytskyi, Ukraine
3Department of Artificial Intelligence, Faculty of Information Technology, Zarqa University, Zarqa, Jordan
4Department of Electrical Engineering, College of Engineering and Information Technology, Onaizah Colleges, Qassim, Saudi Arabia

Tóm tắt

Từ khóa


Tài liệu tham khảo

Abuarafah AG, Khozium MO, AbdRabou E (2012) Real-time crowd monitoring using infrared thermal video sequences. J Am Sci 8(3):133–140

Alom MZ, Hasan M, Yakopcic C, Taha TM, Asari VK (2018) Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation. arXiv preprint arXiv:1802.06955

Balasubramaniam S, Vijesh Joe C, Sivakumar TA, Prasanth A, Satheesh Kumar K, Kavitha V, Dhanaraj RK (2023) Optimization enabled deep learning-based DDoS attack detection in cloud computing. Int J Intell Syst 2023:1–16

Braveen M, Nachiyappan S, Seetha R et al (2023) ALBAE feature extraction based lung pneumonia and cancer classification. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08453-w

Bui HM, Lech M, Cheng E, Neville K, Burnett IS (2016) Using grayscale images for object recognition with convolutional-recursive neural network. In: 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE). IEEE, pp 321–325

Chakraborty MS (2022). Magnitude comparison in canonical signed-digit number system. In: Sengodan T, Murugappan M, Misra S (eds) Advances in electrical and computer technologies. ICAECT 2021. Lecture Notes in Electrical Engineering, vol 881. Springer, Singapore. https://doi.org/10.1007/978-981-19-1111-8_7

Elshiekh N (2022) Astroworld tragedy: analyzing previous crowd crush case. U. Cent. Fla. Dep’t Legal Stud. LJ 5:153

Felix AY, Sasipraba T (2022) Retraction Note to: Spatial and temporal analysis of flood hazard assessment of Cuddalore District, Tamil Nadu, India. Using geospatial techniques. Springer, Berlin

GitHub (2022) https://github.com/jingdao/IR-detection. Accessed 21 Sept 2023

Gong VX, Daamen W, Bozzon A, Hoogendoorn SP (2020) Crowd characterization for crowd management using social media data in city events. Travel Behav Soc 20:192–212

Hasan YMY, Karam LJ, Falkinburg M, Helwig A, Ronning M (2001) Canonic signed digit Chebyshev FIR filter design. IEEE Signal Process Lett 8(6):167–169

Hasan MK, Islam S, Sulaiman R, Khan S, Hashim A-HA, Habib S, Islam M, Alyahya S, Ahmed MM, Kamil S et al (2021) Lightweight encryption technique to enhance medical image security on internet of medical things applications. IEEE Access 9:47731–47742

Henke LL (2016) Estimating crowd size: a multidisciplinary review and framework for analysis. Bus Stud J 8(1):27–38

Kang D, Ma Z, Chan AB (2018) Beyond counting: comparisons of density maps for crowd analysis tasks—counting, detection, and tracking. IEEE Trans Circuits Syst Video Technol 29(5):1408–1422

Kaul C, Manandhar S, Pears N (2019) Focusnet: an attention-based fully convolutional network for medical image segmentation. In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE, pp 455–458

Kavitha M, Roobini S, Prasanth A, Sujaritha M (2023) Systematic view and impact of artificial intelligence in smart healthcare systems, principles, challenges and applications. In: Machine learning and artificial intelligence in healthcare systems, pp 25–56

Li Z, Zhang H, Li Z, Ren Z (2022) Residual-attention unet++: a nested residual-attention u-net for medical image segmentation. Appl Sci 12(14):7149

Liu Q, He Z, Li X, Zheng Y (2019) Ptb-tir: a thermal infrared pedestrian tracking benchmark. IEEE Trans Multimed 22(3):666–675

Mahmood M, Jalal A, Sidduqi M (2018) Robust spatio-temporal features for human interaction recognition via artificial neural network. In: 2018 International conference on Frontiers of Information Technology (FIT). IEEE, pp 218–223

Park J, Chen J, Cho YK, Kang DY, Son BJ (2020) CNN-Based person detection using infrared images for night-time intrusion warning systems. Sensors 20(1):34. https://doi.org/10.3390/s20010034

Poonkodi M, Vadivu G (2021) Action recognition using correlation of temporal difference frame (CTDF)—an algorithmic approach. J Ambient Intell Humaniz Comput 12:7107–7120

Priyadharsini N, Chitra D (2021) A kernel support vector machine based anomaly detection using spatio-temporal motion pattern models in extremely crowded scenes. J Ambient Intell Hum-Ized Comput 12:5225–5234

Rezaee K, Mousavirad SJ, Khosravi MR, Moghimi MK, Heidari M (2021) An autonomous uav-assisted distance-aware crowd sensing platform using deep shufflenet transfer learning. IEEE Trans Intell Transp Syst 23(7):9404–9413

Srinivasan A, Bharadwaj A, Sathyan M, Natarajan S (2020) Optimization of image embeddings for few shot learning. arXiv preprint arXiv:2004.02034

The Federal Bureau of Investigation (2015) https://vault.fbi.gov/protests-in-baltimore-maryland-2015/unedited-versions-of-video-surveillance-footage. Accessed 21 Sept 2023

Trumble M, Gilbert A, Hilton A, Collomosse J (2016) Deep convolutional networks for marker-less human pose estimation from multiple views. In: Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016), pp 1–9

Wang J, Hu X (2021) Convolutional neural networks with gated recurrent connections. IEEE Trans Pattern Anal Mach Intell 44(7):3421–3435

Wang Q, Chen M, Nie F, Li X (2018) Detecting coherent groups in crowd scenes by multiview clustering. IEEE Trans Pattern Anal Mach Intell 42(1):46–58

Wang S, Hu S-Y, Cheah E, Wang X, Wang J, Chen L, Baikpour M, Ozturk A, Li Q, Chou S-H et al (2020) U-net using stacked dilated convolutions for medical image segmentation. arXiv preprint arXiv:2004.03466

Waters DP, Wang L, Wang C, Sun Z, Chen S (2020) An improved dice loss for pneumothorax segmentation by mining the information of negative areas. IEEE Access 8:167939–167949

Wu X, Liang G, Lee KK, Xu Y (2006) Crowd density estimation using texture analysis and learning. In: 2006 IEEE international conference on robotics and biomimetics. IEEE, pp 214–219